<title>Hierarchical fractal-based segmentation of color images</title>

Abstract

A color image segmentation scheme for use in demanding applications is presented. A complexity reduction is performed by transforming the 3D RGB color space into a 1D length space. The constraints that are put on this transform will be enumerated, and a specific Hilbert fractal-based transform will be selected. The segmentation scheme has been designed to preserve the intrinsic multiresolution clustering properties, allowing for a fast and consistent iteration towards a given range of regions or contour pixels. VLSI implementation will be discussed.